I initially watched the lectures because of an interest in aerospace and it is a fascinating historical series in its own right with some incredible speakers. The lessons for systems engineers are numerous too.
419 karma · joined July 25, 2020
I initially watched the lectures because of an interest in aerospace and it is a fascinating historical series in its own right with some incredible speakers. The lessons for systems engineers are numerous too.
There have been multiple attempts over the years to implement all sorts of algorithms but they have all failed to gain traction. For example Wavelet based compression works fantastically well for some data (i.e. real signals with band limited frequencies), and catastrophically badly for others (earth models defined with piecewise functions containing non-differentiable points). Some people are happy with lossy compression, others are not.
The only compression I have seen worth anything is in deep water, where there is literally no data in the water column (i.e. 500 consecutive zeroes in a 6000 byte block), gzip gives you the that section free.
For example, AWS Glacier deep archive would be years of storage for the cost of shipping a tape drive. If you have bandwidth issues use snowcones.
Decoupling tape formats from file format effectively resolves the issue, that is: read the tape in 6k blocks, write the file to a modern file system. Set the tape block size to 10mb. Write the file back to tape as a tar. You get the bandwidth limit of the tape drive.
The issue is almost all legacy industry software is still designed to read and write directly to tape objects so your tape isn't readable in all the software this data is designed for.
Who knows you might win the NBN lottery and get fibre at your house!